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Research Assistant in the Physical Therapy Sciences to collaborate in the Research Project &quo[...]
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Research Assistant in the Physical Therapy Sciences to collaborate in the Research Project &quo[...]
Job summary
Ein innovatives Forschungsprojekt sucht einen engagierten Forschungsassistenten im Bereich Physiotherapie. In dieser spannenden Rolle arbeiten Sie an der Entwicklung und Analyse von KI-basierten Risikoprofilen zur Gesundheitsförderung von Künstlern. Sie werden spezifische Bewegungserfassungsprotokolle entwickeln, biomechanische Messmethoden anwenden und die Ergebnisse in wissenschaftlichen Artikeln und Präsentationen dokumentieren. Diese Position bietet die Möglichkeit, an einem zukunftsweisenden Projekt mitzuwirken und Ihre Fähigkeiten in einem interdisziplinären Team weiterzuentwickeln. Wenn Sie eine Leidenschaft für Bewegung und Gesundheit haben, ist dies die perfekte Gelegenheit für Sie.
Qualifications
- Abgeschlossenes Studium in Physiotherapie oder Sportwissenschaften erforderlich.
- Erfahrung in biomechanischen Messmethoden und physiotherapeutischer Betreuung von Vorteil.
Responsibilities
- Entwicklung von Bewegungsanalyseprotokollen für Künstler.
- Planung und Durchführung biomechanischer Validierungsstudien.
Skills
Education
Tools
Research Assistant in the Physical Therapy Sciences to collaborate in the Research Project „PA.H|LIFETIME.ai – Performing Arts Health by Ai“ with a focus on „Movement Analysis“
As part of the research project "PA.H|Lifetime.ai - Performing Arts Health by AI" (https://www.hs-osnabrueck.de/pahlifetimeai/) funded by the German Research Foundation (DFG), we develop and analyse AI-based risk profiles and predictive models for the health promotion of performing artists (instrumentalists, singers, dancers).
- Development of specific movement analysis protocols for performing artists
- Identification of suitable marker sets or measurement protocols for biomechanical measurements in performing artists
- Planning and execution of biomechanical validation studies
- Patient selection and support with planning and implementation of movement analyses
- Data processing of biomechanical measurements for statistical data analysis
- Documentation, preparation and publication of research results in the form of scientific articles, reports, and presentations
- Completed scientific university degree in the field of physiotherapy, sports science, or comparable disciplines
- Extensive knowledge of biomechanical measurement methods in a physiotherapy context
- Experience in the physiotherapeutic care of orthopaedic patients is an advantage
- Confident handling of standard PC applications and experienced handling of modern information and communication technologies
- Experience with software or programming languages such as Matlab, Python, or R is an advantage
- Willingness to travel on business
- Strong communication skills and enjoyment of interdisciplinary collaboration
We are looking for a motivated person with strong communication and analytical skills who can work in a team in a structured manner and has good time management skills. The position involves 50% of the regular working hours and is limited until 31 December 2027. Remuneration is in accordance with pay group 13 of the TV-L. The possibility of a co-operative doctorate is given. Osnabrück University of Applied Sciences reserves the right to conduct the selection interviews in person or online.
Start date: as soon as possible.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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